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Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test

Authors :
Mariangela Manfredi
Heidi De Baere
Xavier Bossuyt
Valentina Grossi
Maria Infantino
Daria Franceschi
Stefanie Van den Bremt
Marco Meoni
Nicola Bizzaro
Lieve Van Hoovels
Emiliano Tosi
Maurizio Benucci
Source :
Clinical Chemistry and Laboratory Medicine (CCLM). 59:1247-1255
Publication Year :
2021
Publisher :
Walter de Gruyter GmbH, 2021.

Abstract

Objectives Currently available computer-aided diagnosis (CAD) systems for the detection of anti-nuclear antibodies (ANA) by indirect immunofluorescence (IIF) assay enable a standardized measurement of system-specific fluorescent intensity (FI) measures. We aimed to evaluate an internal quality control (iQC) program that controls the total ANA IIF process in routine practice. Methods In addition to the kit iQC materials, supplemental quality indicators were integrated in a total quality assurance (QA) program: patient-derived iQC’s samples (negative, 1/160 fine speckled and 1/160 homogeneous), median sample FI per run and percentage of ANA IIF positive samples per run. Analytical rejection criteria were based on the imprecision of the positivity index (PI) measure of the Zenit PRO system (Menarini). Clinical rejection criteria were based on changes in FI that correspond to a change in ANA IIF titer of ≥2. To evaluate the QA program, different artificial errors were introduced during the ANA IIF process. After every run, quality indicators were evaluated and compared to the pre-set target values. Results Rescanning the ANA IIF slides five times, using an old conjugate and a needle obstruction resulted in analytically and even clinically relevant errors in ANA IIF results. All errors were correctly detected by the different defined quality indicators. Traditional Westgard rules, including analytically (and clinically) defined rejection limits were useful in monitoring quality indicators. Conclusions The integration of a total process iQC program in CAD systems, based on the specific FI measurands and performance criteria of the system, adds value to QA.

Details

ISSN :
14374331 and 14346621
Volume :
59
Database :
OpenAIRE
Journal :
Clinical Chemistry and Laboratory Medicine (CCLM)
Accession number :
edsair.doi.dedup.....022b4875e362442acc78f445da1cd543